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YC's partners walk through concrete business models that were not viable before large language models: full-stack law firms, personalized tutors, recruiting and technical screening that can finally scale. It is a current, specific view of AI-enabled problem spaces from people who see thousands of applications a batch. Treat their examples as patterns to reason from, not ideas to copy outright.
Startup Ideas You Can Now Build With AI (Lightcone Podcast)
On Y Combinator (Lightcone Podcast) by Garry Tan, Harj Taggar, Diana Hu, Jared Friedman ~45 min
- The strongest AI ideas are ones where the old cost structure blocked a real business that now works, for example AI running technical interviews or one-on-one tutoring at scale.
- Look for services that were too expensive to deliver per customer and are now cheap enough to build a company around.
- The partners frame many of these as second chances at markets that failed before, so a previously dead idea is worth re-examining against today's model capabilities.
